Current deep learning models have been shown to be capable of fully-automatic segmentation of CMR data sets [1]}. For example, in a huge international challenge for CMR, held at the Medical Image Computing and Computer Assisted Intervention (MICCAI) conference in 2017, called ACDC, deep learning methods outperformed previous methods. The best approaches use deep convolutional architectures. Most of them build on the U-Net architecture (introduced by Ronneberger et al[2]}).
